Technical Engineering Lead (Portugal)

Location: Based in Lisbon, Portugal; fully remote global team.

Company

hirify.global develops cybersecurity solutions that protect AI technologies from adversarial AI attacks and is expanding its GRC platform.

What you will do

• Define the architecture of the EU AI Act Compliance Engine, including service boundaries, data models, APIs, workflows, and integrations.
• Design a versioned, testable, explainable regulation-as-data rules engine for EU AI Act obligations.
• Build automated AI-system obligation and risk-tier mapping and conformity-assessment workflows.
• Develop secure, reliable, observable cloud-native services using Python and supporting technologies.
• Establish engineering practices for testing, CI/CD, code review, documentation, observability, incident readiness, and secure SDLC execution.
• Partner with product, security, legal, governance, and engineering stakeholders while mentoring future hires and shaping the Portugal R&D function.

Requirements

• 8+ years of experience as a senior software engineer or technical lead delivering production systems and making architecture decisions across complex technical domains.
• Strong experience with Python and Golang, plus cloud architecture, distributed systems, APIs, data modeling, and secure software development.
• Ability to turn complex, evolving requirements into technical models, maintainable rules, and reliable workflows.
• Interest in AI, cybersecurity, governance, risk, and regulation, with the judgment to distinguish policy intent from implementation detail.
• Hands-on leadership experience writing production code, reviewing designs, troubleshooting difficult problems, and improving engineering quality.
• Clear communication and documentation skills, including surfacing tradeoffs and aligning engineering, product, security, and governance stakeholders.
• Mentoring skills and motivation to shape practices for a new R&D team.
• Must be based in Lisbon.
• Professional fluency in English required.

Nice to have

• Experience with compliance, governance, risk, audit, policy, workflow, or rules-driven enterprise software.
• Knowledge of the EU AI Act, AI governance, model risk management, conformity assessment, or related regulatory frameworks.
• Experience with machine-learning platforms, MLOps, AI infrastructure, security products, cloud security tooling, GRC platforms, or security and enterprise integrations.
• Experience with AWS or Azure, Docker, and Kubernetes.
• Familiarity with event-driven systems, workflow engines, policy-as-code, API gateways, service-oriented architectures, or distributed systems.
• Experience with infrastructure as code such as Terraform, Pulumi, CloudFormation, or Bicep.
• Familiarity with observability practices and tools for metrics, logs, traces, service health, and operational diagnostics.
• Master’s degree or equivalent advanced training in computer science, software engineering, artificial intelligence, cybersecurity, or a related discipline.

Culture & Benefits

• Fully remote work on a distributed global team, with intentional team gatherings.
• Home-office setup stipend, annual workspace upgrades, and monthly internet and phone stipends.
• Health, vision, dental, and 401(k) benefits.
• Unlimited flexible time off and paid company holidays for salaried employees.
• Learning and development fund for training, conferences, certifications, and industry events.
• Commitment to diversity, equity, inclusion, and an equal-opportunity workplace.